An Infrastructure for Acquiring High Quality Semantic Metadata

Lei, Dr. Yuangui and Sabou, Dr. Marta and Lopez, Miss Vanessa and Zhu, Dr. Jianhan and Uren, Dr. Victoria and Motta, Prof. Enrico (2006) An Infrastructure for Acquiring High Quality Semantic Metadata. In Proceedings 3rd European Semantic Web Conference (ESWC 2006).

Full text available as:

PDF - Requires Adobe Acrobat Reader or other PDF viewer.

Because metadata that underlies semantic web applications is gathered from distributed and heterogeneous data sources, it is important to ensure its quality (i.e., reduce duplicates, spelling errors, ambiguities). However, current infrastructures that acquire and integrate semantic data have only marginally addressed the issue of metadata quality. In this paper we present our metadata acquisition infrastructure, ASDI, which pays special attention to ensuring that high quality metadata is derived. Central to the architecture of ASDI is a erification engine that relies on several semantic web tools to check the quality of the derived data. We tested our prototype in the context of building a semantic web portal for our lab, KMi. An experimental evaluation omparing the automatically extracted data against manual annotations indicates that the verification engine enhances the quality of the extracted semantic metadata.

Contact the site administrator at: hg@ecs.soton.ac.uk